Open-Source AI
AI models released with publicly available weights and code, allowing anyone to use, modify, and build upon them — in contrast to closed-source models accessible only through APIs.
In 2024, 67% of notable foundation models were released with open weights — a significant shift toward openness. Meta's Llama 3 family is the most prominent open-source model, followed by Mistral's offerings. Open-source models have democratized AI access and challenged the business models of closed-source providers. They add competitive pressure that keeps the AI market dynamic and accessible, though they also raise safety concerns about unrestricted access to powerful capabilities.
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Related Terms
Artificial General Intelligence (AGI)
A hypothetical form of AI that can understand, learn, and apply knowledge across any intellectual task at or above human level, rather than being specialized for specific tasks.
AI Alignment
The research field focused on ensuring AI systems behave in accordance with human values and intentions, particularly as systems become more capable.
ChatGPT
OpenAI's conversational AI assistant, launched in November 2022, which catalyzed the current generative AI boom by demonstrating the capabilities of large language models to a mainstream audience.
Fine-Tuning
The process of further training a pre-trained AI model on a specific, smaller dataset to specialize it for a particular task or domain, requiring far less compute than training from scratch.
Foundation Model
A large AI model trained on broad data that can be adapted to a wide range of downstream tasks — examples include GPT-4, Claude, Gemini, and Llama.
Frontier Model
The most capable and advanced AI models at any given time, typically trained with the largest compute budgets and achieving state-of-the-art performance on benchmarks.
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